DT-aided resource allocation via generative adversarial imitation learning in complex cloud-edge-end scenarios
- DOI
- 10.1038/s41598-026-38367-0
- Published
- 2026-02-07
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-38367-0,
title = {DT-aided resource allocation via generative adversarial imitation learning in complex cloud-edge-end scenarios},
author = {Xiaoqi Zhang and Mingyang Xin and Yuqiong Li and Qiang Fu},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-38367-0},
url = {https://doi.org/10.1038/s41598-026-38367-0}
}RIS
TY - JOUR TI - DT-aided resource allocation via generative adversarial imitation learning in complex cloud-edge-end scenarios AU - Xiaoqi Zhang AU - Mingyang Xin AU - Yuqiong Li AU - Qiang Fu PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-38367-0 UR - https://doi.org/10.1038/s41598-026-38367-0 ER -
APA
Zhang, X., Xin, M., Li, Y., & Fu, Q. (2026). DT-aided resource allocation via generative adversarial imitation learning in complex cloud-edge-end scenarios. Scientific Reports. https://doi.org/10.1038/s41598-026-38367-0
Source records
- crossref · retrieved 2026-09-26T00:40:05.144Z